53 articles · Page 4
The average enterprise AI budget grew 340% between 2023 and 2025, and most finance teams still can't tell you which team is burning the most tokens. Most companies don't have an AI cost problem;
The average AI native startup is spending $47,000 per month on API tokens, according to Andreessen Horowitz. That number doubled in 18 months. Here's the financial discipline playbook that separates companies pulling ahead from
AirTrunk is pouring $30 billion into 5 gigawatts of AI data center capacity in India, backed by Blackstone. This isn't just a finance story. It's a signal that the center of AI compute power
Meta is housing AI servers in temporary tent structures while permanent data centers are still being built, copying a tactic Tesla used to save Model 3 production in 2018. With over $60 billion committed
Alphabet is planning to raise $80 billion for AI infrastructure, and the real story isn't about which model wins. It's about toll booths. Whoever owns the pipes AI travels through controls the next economy,
Alphabet announced an $80 billion equity raise on June 1, 2026, its first formal stock offering in over two decades. The raise funds $180 to $190 billion in 2026 AI capital expenditures, with Berkshire
Erin Brockovich launched a crowdsourced data center map in late May 2026. Within weeks, residents in 47 states filed 2,716 verified complaints about water drain, grid strain, and hidden construction NDAs. Big Tech's infrastructure
The agentic AI market pulled in $1.1 billion in five months and it's fueling a data center construction surge with almost zero community accountability. Erin Brockovich is calling it out. Investors who ignore the
Erin Brockovich is calling out data center operators for hiding what their AI-driven facilities are doing to local water supplies. With AI application deployment jumping from 5% to over 80% of organizations between 2023
SoftBank pledged €75 billion to build AI data centers in France, the largest single foreign tech investment in French history. This isn't just a headline. It's a signal about where AI infrastructure is heading